Air quality impact assessment of NOx and PM due to diesel vehicles in Delhi

Goyal, P.; Jaiswal, Neeru; Kumar, Ashutosh; Dadoo, J.K.; Dwarakanath, M.

doi:10.1016/j.trd.2010.03.002

Cited by 36 publications

(23 citation statements)

References 1 publication

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“…Further, the study recommended the use of CALINE4 model with correction factor for regulatory purposes for the city of Kolkata. Goyal et al (2010) assessed the impact of diesel vehicles on NO x and PM emission at various locations in Delhi with two line source models viz., CALINE4 and IITLS. The models under-predicted the observed value, with IITLS predictions being slightly better than CALINE4 predictions due to inclusion of the treatment of low wind (< 1 m/s) conditions in IILTS which is neglected in CALINE4 model.…”

Section: Performance Evaluation and Comparative Assessment Of Caline4mentioning

confidence: 99%

Vehicular pollution dispersion modelling along roads using CALINE4 model - a review

Dhyani

Sharma

2018

IJETM

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The present paper presents a review of vehicular pollution dispersion models with particular focus on CALINE4 model. The CALINE4 model is one of the most extensively used model for prediction of vehicular pollution along highways/roads. The CALINE4 model is easy handing and less input data requirement makes it useful for screening purposes. The paper also briefly discusses about the performance evaluation, sensitivity analysis of CALINE4 model along with uncertainty due to limitations in terms of input data provided in CALINE4 model's output.Reference to this paper should be made as follows: Dhyani, R. and Sharma, N. (2018) 'Vehicular pollution dispersion modelling along roads using CALINE4 model -a review', Int.

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Section: Performance Evaluation and Comparative Assessment Of Caline4mentioning

confidence: 99%

Vehicular pollution dispersion modelling along roads using CALINE4 model - a review

Dhyani

Sharma

2018

IJETM

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“…High levels of CO and PM 2.5 concentration might be attributed to the increase in vehicular population in Delhi [25]. Goyal et al [26] reported that 17% and 28% of total NOx and PM concentration respectively are due to vehicular pollution, which is almost the same as those from other sources such as industry, power plants and domestic uses in Delhi.…”

Section: Site Characteristicsmentioning

confidence: 99%

Performance evaluation of ISCST3, adms-urban and aermod for urban air quality management in a mega city of India

Gulia¹,

Nagendra²,

Khare³

2014

Int. J. SDP

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Urban air quality has deteriorated in last few decades in the mega cities of both developed and developing countries. Many mathematical models have been widely used as prediction tool for urban air quality management in developed countries. However, applications of these models are limited in developing countries including India due to lack of suffi cient validation studies. In this paper, three state-of-the-art air quality models namely AERMOD, ADMS-Urban and ISCST3 have been used to predict the air quality at an intersection in Delhi city, India, followed by their performance evaluation and sensitive analysis under different meteorological conditions. The models have been run for different climatic conditions, i.e. summer and winter season to predict the concentration of carbon monoxide (CO), nitrogen dioxide (NO 2 ) and PM 2.5 (diameter size less than 2.5 µm). The The causal nature of these Gaussian based models may be one of the reasons for difference in performance of the models, because these are sensitive to quality and quantity of input data on meteorology and emission sources.

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“…High levels of CO and PM 2.5 concentration might be attributed to an increase in vehicular population in Delhi [23]. Goyal et al [24] reported that 17% and 28% of total NOx and PM concentration respectively are due to vehicular pollution, which is almost the same as those from other sources such as industry, power plants, and domestic uses in Delhi. Site view of the ITO intersection, Delhi.…”

Section: Site Characteristicsmentioning

confidence: 99%

“…Hourly emission rates have been calculated as function of emission factor and vehicular activity data for each road link [24]. AERMOD, ADMS-Urban and ISCST3 does not take these emission rates directly, instead it takes the hourly factors that can be multiplied to a common emission rate for that link so as to get the original emission rates.…”

Section: Emission Factormentioning

confidence: 99%

Performance evaluation of air quality dispersion models at urban intersection of an Indian city: a case study of Delhi city

Khare¹,

Nagendra²,

Gulia³

2012

Air Pollution XX

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Air quality modelling plays an important role in formulating air pollution control and management strategies by providing guidelines for better and more efficient air quality planning. Several air quality dispersion models are used to evaluate the urban air quality. The performance and efficiency of an air quality model are mainly depends upon the accurately interpretations of the complex interactions between various atmospheric, emission and topographic parameters involved in the air pollution problem. In this paper, four state-of art air quality models like AERMOD, ADMS-Urban, ISCST3 and CALINE4 and two codes i.e. GFLSM and DFLSM (based on Gaussian principle) have been used to predict the air quality of an urban intersection of Delhi city, India, followed by their performance evaluation. These models are applied to predict the concentration of Carbon monoxide (CO), Nitrogen dioxide (NO 2 ) and PM 2.5 (size less than 2.5 micron) which are one of the major components of vehicular exhaust emissions. The performance of all models/codes have been evaluated using standard statistical descriptor like Index of Agreement

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Air quality impact assessment of NOx and PM due to diesel vehicles in Delhi

Cited by 36 publications

References 1 publication

Vehicular pollution dispersion modelling along roads using CALINE4 model - a review

Vehicular pollution dispersion modelling along roads using CALINE4 model - a review

Performance evaluation of ISCST3, adms-urban and aermod for urban air quality management in a mega city of India

Performance evaluation of air quality dispersion models at urban intersection of an Indian city: a case study of Delhi city

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